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Saprotrophic fungal diversity predicts ectomycorrhizal fungal diversity along the timberline in the framework of island biogeography theory

Citation

Yang, Teng et al. (2021), Saprotrophic fungal diversity predicts ectomycorrhizal fungal diversity along the timberline in the framework of island biogeography theory, Dryad, Dataset, https://doi.org/10.5061/dryad.2280gb5rk

Abstract

In the context of a timberline tree species (Betula ermanii) as “virtual island”, we surveyed ectomycorrhizal (EcM) fungal diversity along a 430-m vertical gradient on the top of Changbai Mountain, China, sampling fine roots and neighboring soils of B. ermanii. Besides elevation, soil properties and plant functional traits, endophytic and saprotrophic fungal diversity were assessed as candidate predictors to construct integrative models. EcM fungal diversity decreased with increasing elevation, and exhibited positive diversity to diameter at breast height and negative diversity to distance from forest edge relationships in both roots and soils. Integrative models further showed that saprotrophic fungal diversity was the strongest predictor of EcM fungal diversity, directly enhancing EcM fungal diversity in roots and soils. All the metadata were stored here for use.

Methods

Soil properties and plant (root) traits were measured in Lab. Geographic variables and tree traits, such as tree height, canopy diameter and DBH, were recorded in the field. Spatial vectors (PCNM1 - PCNM 5) were obtained by the principal coordinates of neighbor matrices (PCNM) method.

Usage Notes

The file includes the basic metadata of the manuscript "Saprotrophic fungal diversity predicts ectomycorrhizal fungal diversity along the timberline in the framework of island biogeography theory". It can be analyzed with the high-throughput sequencing data of ITS1 in that paper. Also, please cite it.

Funding

National Natural Science Foundation of China, Award: 41907039